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Rewards Analytics and Distribution Dashboard for Quantification Review¶

This document processes the outputs of the praise reward system and performs an analysis of the resulting token reward distribution.

Out[6]:

Distribution report for round-1

  • This period covers praise given between 2021-07-11 and 2021-07-30.
  • We allocated a total of 2546 TEC tokens for rewards.
  • Duplicate praise received a weighting of 0.1 the value of the original praise.
  • We assigned 3 quantifiers per praise instance.
  • Praise receiver names were not hidden behind pseudonyms during quantification

Praise Data Visualization¶

Rating distribution¶

Since praise gets valued on a scale, we can take a look at how often each value of the scale gets assigned by quantifiers. Note: This metric disregards scores of praise marked as a duplicate, since the score of the original is already being taken into account.

Top 10 highest rated contributions¶

The ten highest rated contributions for this round were the following:

Out[9]:
Avg. score To Reason
84.67 natesuits#4789 for helping me write and rewrite the forum post on the power of defaults: https://forum.tecommons.org/t/the-power-of-defaults-in-the-commons-configuration-dashboard/511/2
80.33 Nuggan#5183 for helping me write and rewrite the forum post on the power of defaults: https://forum.tecommons.org/t/the-power-of-defaults-in-the-commons-configuration-dashboard/511/2
79.33 Nuggan#5183 for jumping in params, giving feedback and asking questions
77.93 divine_comedian#5493 for their work building the Commons Configuration Dashboard
73.33 natesuits#4789 for being at the DAOist desk all day, wrangling, taking care of people, checking in with Anne Marie
73.33 sem(🌸,🐝)#0161 for the incredible work with the demos, making improvements, managing the tech team and for being such a good teacher across the space and sharing his knowledge
70.67 iviangita#3204 for working countless hours on auditing Praise
70.67 liviade#1387 for the long verification hack session for the final IH list
70.67 liviade#1387 for all the work in Soft Gov and having to deal with the entire intervention proposal process
68.0 sem(🌸,🐝)#0161 for engaging in discussion on the TE Commons Forum (https://forum.tecommons.org) the past week. Thank you for helping our Token Engineering Commons community share and learn!

Praise Reward Distribution¶

We can now take a look at the distribution of the received praise rewards. You can toggle the inclusion of the different sources by clicking on the legend.

Praise Giving Distribution¶

We can also take a look at the amount of praise different users gave.

Praise Flows¶

Now for something more fun: let's surface the top "praise flows" from the data. Thanks to @inventandchill for this awesome visualization! On one side we have the top 15 praise givers separately, on the other the top 25 receivers. The people outside the selection get aggregated into the "REST FROM" and "REST TO" categories.

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Quantifier Data¶

Now let's take a closer look at the quantification process and the quantifiers:

Praise Outliers¶

To aid the revision process, we highlight disagreements between quantifiers.

Outliers sort by spreads¶

This graphic visualizes controversial praise ratings by sorting them by the "spread" between the highest and lowest received score.

Please keep in mind that this is a visual aid. If there are several praise instances with similar spread and quant score, all but one end up "hidden" on the chart. For an exhaustive list, take a look at the exported file "praise_outliers.csv" .

Praise score by quantifier -- outliers among the quantifiers?¶

Let's see how different quantifiers behaved by showing the range of praise scores they gave.

To interpret the box plot:

  • Bottom horizontal line of box plot is minimum value

  • First horizontal line of rectangle shape of box plot is First quartile or 25%

  • Second horizontal line of rectangle shape of box plot is Second quartile or 50% or median.

  • Third horizontal line of rectangle shape of box plot is third quartile or 75%

  • Top horizontal line of rectangle shape of box plot is maximum value.

Score displacement: tendency to under/over-scoring?¶

Scoring correlation: how similiar am I scoring with others?¶

Agreement on duplication¶

Out[22]:

Among 597 praises, 133 (22.20%) do not agree on duplication

Praise instances with disagreements in duplication are collected in 'results/duplication_examination.csv'. To compare, look at the last 4 columns: 'DUPLICATE MSG 1/2/3' and 'ORIGINAL MSG'.

Agreement on dismissal¶

Out[25]:

Among 597 praises, 15 (2.50%) do not agree on dismissal

Praise instances with disagreements in dismissal are collected in'results/dismissal_disaggreed.csv'. You can further look into who dismissed and who did not.